Version: 91.1

\[\\[.0005in]\] PARAMETERS OPTIMIZED
X__STOf.Timeframe and X__STOf.Length

BEST PARAMETERS
X__STOf.Timeframe = 15
X__STOf.Length = 15
Profit account= 61 (per day adjusted to desire% DD )
Activity = 18.16 (Cumulative number of entries in all pairs per week)
Desire DD = 10

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Profit per day standardized to the desire percent dropdown
Exclude pairs that when standardized to DD enter with less than $1,000 and pairs that fail to enter once a week



Capping pairs profit per day standardized to a desire percent dropdown
The figure below is like the one above but capping the profits of all pairs to a traget of 1%, this avoids biasing the summary results of an account when only a handful of pairs yield very large profits. This figure basically trying to provide a sense of the extent to which the strategy is profitable across pairs.



Comparison to prior optimizations of this robot. Double click on the plot to deselect all columns.



Number of pairs that meet 1% profit target



Results for X__STOf.Timeframe = 15 and X__STOf.Length = 15

Best parameters
Profit nDays MaxDDMoney nLostEntries nEntries nWinTrades PercDD X Y Pair DDAccount DD3Perc MoneyEntryAdjusted ProfitAt3Perc ProfitStan3PercDay PercentDaysActive FailByAmount FailByTimeActive MeetTarget
66 1135.88 427.85 438.45 7 339 129 -1.5 15 15 EURGBP 1.461500 684.22853 205268.56 7772.01505 18.1652800 0.7923338 No No No
507 3140.13 431.11 1372.47 11 1145 427 -4.6 15 15 XAUUSD 4.574900 218.58401 65575.20 6863.82216 15.9212780 2.6559347 No No No
311 1635.38 430.80 1348.85 12 859 313 -4.5 15 15 NZDUSD 4.496167 222.41168 66723.51 3637.27620 8.4430738 1.9939647 No No No
262 1361.39 432.95 1121.02 13 712 264 -3.7 15 15 GBPUSD 3.736733 267.61342 80284.03 3643.26239 8.4149726 1.6445317 No No No
17 2238.78 431.09 2077.91 13 939 346 -6.9 15 15 AUDUSD 6.926367 144.37584 43312.75 3232.25741 7.4978715 2.1781994 No No No
164 664.25 434.04 1584.59 10 650 237 -5.3 15 15 EURUSD 5.281967 189.32342 56797.03 1257.58083 2.8973846 1.4975578 No No No
458 1113.05 431.08 2707.72 18 654 231 -9.0 15 15 USDJPY 9.025733 110.79432 33238.30 1233.19619 2.8607131 1.5171198 No No No
213 -13.21 413.11 2724.32 12 799 279 -9.1 15 15 GBPJPY 9.081067 110.11922 33035.77 -14.54675 -0.0352128 1.9341096 No No No
115 -129.09 408.88 2812.63 15 653 224 -9.4 15 15 EURJPY 9.375433 106.66174 31998.52 -137.68964 -0.3367483 1.5970456 No No No
360 -261.37 423.85 1784.51 12 479 162 -5.9 15 15 USDCAD 5.948367 168.11338 50434.01 -439.39793 -1.0366826 1.1301168 No No No
409 -720.37 428.15 3537.28 15 653 221 -11.8 15 15 USDCHF 11.790933 84.81093 25443.28 -610.95248 -1.4269590 1.5251664 No No No

Results by pair

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Results by pair capped to desired 1% profit
This is the same as above, but caps pairs to max desire profit to avoid visual bias by pairs with very lage profits

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Results within desire DD, top 5 with most winning trades, and ranked by Profit per day at desire DD
One is in the search of a unique combination of parameters that can be used across forex pairs; the reality is, however, that they represent countries with vast differences in economic power, which can cause specific patterns within certain pairs, thus, in most likelihoods parameters are specific to each forex pair. Here I show the best results for each pair.

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Default parameters
Parameter Value
3 X__Name.for.robot Karol
4 X__Show.only.entry.triggers true
5 X__Show.only.Exit.triggers 0
6 X__Show.labels.for.type.of.signals 0
7 X__Trading.times 19:45
8 X__Source close
9 X__Cash.each.entry 30 000
10 X__Minimum.profit.take 0.2
11 X__Stop.loss..close.positions.when.lossing.this.much.percent 0.1
12 X__Stochastic.slow.for.direction true
13 X__Stochastic.slow.for.position true
14 X__STOs.Threshold 20
15 X__STOs.TimeFrame 3 hours
16 X__STOs.Length 44
17 X__STOs.Smoothing 16
18 X__Stochastic.fast.for.direction true
19 X__Stochastic.fast.for.position 0
20 X__STOf.Threshold 50
21 X__STOf.Timeframe 1 minute
22 X__STOf.Length 5
23 X__STOf.Smoothing 16
24 X__030.Percentage.Price.Oscillator.for.trigger 0
25 X__PPO.Fast.Type EMA
26 X__PPO.Fast.Length 15
27 X__PPO.Slow.Type Geometric_Mean
28 X__PPO.Slow.Length 200
29 X__PPO.Threshold 0.05
30 X__PPO.Timeframe 15 minutes
31 X__User.SuperTrend.as.exit 0
32 X__Fast.SuperTrend.time.frame 1 minute
33 X__Fast.Super.trend.ATR.Length 200